Browsing Computer Science & Engineering by Subject "Feature extraction"
Now showing items 21-35 of 35
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Learning-free handwritten word spotting method for historical handwritten documents
( John Wiley and Sons Inc , 2021 , Article)Word spotting on degraded and noisy historical documents can become a challenging task considering the computational time and memory usage required to scan the entire document image. This paper proposes a new effective ... -
A Malicious Mining Code Detection Method Based on Multi-Features Fusion
( IEEE Computer Society , 2022 , Article)With the continuous increase in the economic value of new digital currencies represented by Bitcoin, more and more cybercriminals use malicious code to occupy victims system resources and network resources for mining without ... -
Malicious uav detection using integrated audio and visual features for public safety applications
( MDPI AG , 2020 , Article)Unmanned aerial vehicles (UAVs) have become popular in surveillance, security, and remote monitoring. However, they also pose serious security threats to public privacy. The timely detection of a malicious drone is currently ... -
On the use of time-frequency features for detecting and classifying epileptic seizure activities in non-stationary EEG signals
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)This paper proposes new time-frequency features for detecting and classifying epileptic seizure activities in non-stationary EEG signals. These features are obtained by translating and combining the most relevant time-domain ... -
Performance Comparison of classification algorithms for EEG-based remote epileptic seizure detection in Wireless Sensor Networks
( IEEE Computer Society , 2014 , Conference Paper)Identification of epileptic seizure remotely by analyzing the electroencephalography (EEG) signal is very important for scalable sensor-based health systems. Classification is the most important technique for wide-ranging ... -
Performance evaluation for compression-accuracy trade-off using compressive sensing for EEG-based epileptic seizure detection in wireless tele-monitoring
( IEEE , 2013 , Conference Paper)Brain is the most important part in the human body controlling muscles and nerves; Electroencephalogram (EEG) signals record brain electric activities. EEG signals capture important information pertinent to different ... -
Recognition of off-line handwritten Arabic words using neural network
( IEEE , 2006 , Conference Paper)Neural network (NN) have been used with some success in recognizing printed Arabic words. In this paper, a complete scheme for unconstrained Arabic handwritten word recognition based on a Neural network is proposed and ... -
Robust detection of acoustic partial discharge signals in noisy environments
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)Partial discharge (PD) can be used to predict insulation failures in power transformers. Accurate detection of particular PD types has a significant role in anticipating forthcoming outages. However, the noise encountered ... -
Robust feature point detectors for car make recognition
( Elsevier B.V. , 2018 , Article)An Automatic Vehicle Make and Model Recognition (AVMMR) system can be a useful add-on tool to Automatic Number Plate Recognition (ANPR) to address potential car cloning, including intelligence collection by the police to ... -
Round-Robin sequential forward selection algorithm for prostate cancer classification and diagnosis using multispectral imagery
( Springer , 2011 , Article)This paper proposes an automatic classification system for the use in prostate cancer diagnosis. The system aims to detect and classify prostatic tissue textures captured from microscopic samples taken from needle biopsies. ... -
Text-dependent writer identification for arabic handwriting
( Hindawi Publishing Corporation , 2012 , Article)This paper proposes a system for text-dependent writer identification based on Arabic handwriting. First, a database of words was assembled and used as a test base. Next, features vectors were extracted from writers' word ... -
TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Machine learning techniques are becoming mainstream in intrusion detection systems as they allow real-time response and have the ability to learn and adapt. By using a comprehensive dataset with multiple attack types, a ... -
Time-frequency image descriptors-based features for EEG epileptic seizure activities detection and classification
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)This paper presents new class of time-frequency (T-F) features for automatic detection and classification of epileptic seizure activities in EEG signals. Most previous methods were based only on signal features derived ... -
Unsupervised feature selection method for improved human gait recognition
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)Gait recognition is an emerging biometric technology which aims to identify people purely through the analysis of the way they walk. The technology has attracted interest as a method of identification because it is ... -
Writer identification using edge-based directional probability distribution features for Arabic words
( IEEE , 2008 , Conference Paper)A system for writer identification based on Arabic handwritten words was built. First a database of words was gathered and used as a test base. Then, features vectors were extracted from writers' word images. Prior to ...